Задачи:
— Администрировать, поддерживать и оптимизировать облачные платформы и инфраструктуру.
— Настраивать, конфигурировать, поддерживать и совершенствовать CI/CD- и GitOps-пайплайны.
— Внедрять и поддерживать практики Infrastructure as Code (IaC) с использованием таких инструментов, как Ansible, Terraform, Pulumi.
— Управлять контейнеризированными средами с использованием Docker, Docker Swarm и Kubernetes.
— Обеспечивать надежную инфраструктуру и процессы развертывания для BI-сервисов и приложений, включая ClickHouse, SQL, Airflow, Tableau, Superset.
— Тесно взаимодействовать с командами разработки и BI для повышения надежности развертывания, консистентности окружений и операционной эффективности.
Требования:
— Уверенные навыки настройки и администрирования как минимум одной облачной платформы.
— Уверенные навыки построения и автоматизации процессов развертывания с использованием CI/CD и GitOps.
— Опыт построения масштабируемой IT-инфраструктуры.
— Уверенные навыки настройки Linux-серверов и устранения неисправностей.
— Практический опыт работы с Kubernetes.
— Понимание сетевой модели OSI.
— Понимание принципов построения надежной и масштабируемой инфраструктуры, а также автоматизированных процессов развертывания.
— Знание принципов информационной безопасности и защиты данных.
— Интерес к работе с инфраструктурой для Business Intelligence и data-related решений либо соответствующий практический опыт.
Задачи:
— Участие в развитии и эксплуатации Developer Platform на базе Kubernetes: развертывание, масштабирование, оптимизация кластеров, включая настройку сетевых политик и безопасности с помощью Cilium;
— Настройка и поддержка CI/CD-пайплайнов с использованием GitLab CI, автоматизация процессов сборки, тестирования и деплоя приложений;
— Внедрение GitOps-подхода с использованием Flux CD для управления конфигурациями;
— Работа с системами управления секретами (HashiCorp Vault) и обеспечение безопасности инфраструктуры;
— Оптимизация инфраструктуры для проектов на Golang, Java, Node.js, включая поддержку микросервисных архитектур;
— Настройка и управление кластерами Kafka/Redis/Nats/Postgres;
— Настройка и поддержка Istio Service Mesh;
— Настройка и поддержка инфраструктурных сервисов в k8s и на ВМ;
— Интеграция c Observability-стеком для сбора метрик, логов и трейсов.
Требования:
— Опыт работы от 3 лет в DevOps;
— Глубокое понимание Linux, Kubernetes и сетей (включая сетевые политики через Cilium), управление Helm-чартами, troubleshooting;
— Опыт работы с CI/CD-инструментами;
— Навыки работы с инфраструктурой как код (Ansible) и GitOps-подходом (Flux CD/Argo CD);
— Опыт работы с системами управления секретами (HashiCorp Vault);
— Навыки написания скриптов на Bash, Golang или Python;
— Владение английским языком для чтения документации.
Будет плюсом:
— Опыт работы с базами данных (Postgres);
— Опыт работы с брокерами сообщений (Kafka/Redis/Nats/RabbitMQ);
— Опыт написания backend-приложений или k8s операторов на Golang.
Задачи:
— Установление и поддержка инфраструктурных паттернов для рабочих нагрузок данных.
— Проектирование и поддержка эталонных паттернов для платформ данных ZoomInfo: стриминг и месседжинг (Kafka/Confluent, Pub/Sub), операционные базы данных (PostgreSQL/Cloud SQL, MongoDB), аналитические хранилища (BigQuery, Snowflake), поиск (Elasticsearch/Solr), оркестрация и обработка пайплайнов (Apache Airflow/Cloud Composer, Dataflow/Apache Beam), открытые форматы таблиц (Apache Iceberg).
— Разработка Terraform-модулей, GitOps-воркфлоу и документированных стандартов для использования командами данных.
— Определение CI/CD и GitOps паттернов для задач и пайплайнов данных, сотрудничество с платформенной и дата-инженерной командами для безопасной и автоматизированной доставки данных.
— Установление паттернов производительности, стоимости и наблюдаемости, включая оптимизацию запросов и хранения, мониторинг, алерты и практики SLO.
— Определение базовых паттернов для резервного копирования, восстановления и аварийного восстановления данных с целями RTO/RPO.
— Сотрудничество с FinOps по расходам на уровне данных.
— Проведение обзоров рабочих нагрузок команд на соответствие паттернам и помощь в выравнивании.
— Проведение POC новых технологий данных и предложений поставщиков в рамках процесса закупок и жизненного цикла технологий.
— Определение паттернов подключения управляемых поставщиками сервисов данных к GCP с учетом безопасности, сетей и контроля затрат.
— Поддержка усилий по консолидации данных и управлению ими, включая классификацию, резидентство и политику доступа.
— Создание эталонных реализаций, написание ADR и сотрудничество с командами для внедрения паттернов.
— Участие в еженедельных архитектурных обзорах, расширение библиотеки стандартов и каталога ADR.
— Проведение дизайн-ревью, воркшопов и консультирование команд по инфраструктурным вопросам.
Требования:
— Умение влиять и коммуницировать, представлять рекомендации с прототипами, бенчмарками и обоснованиями.
— Опыт архитектуры облачной инфраструктуры на GCP и/или AWS, включая compute, Kubernetes (GKE или эквивалент), VPC, IAM, стоимость и надежность.
— Сильные навыки Terraform и GitOps, включая проектирование и ревью модулей.
— Умение с уверенностью оценивать дизайн сервис-меш и сетей.
— Практический опыт работы с инфраструктурой данных в масштабе от нескольких терабайт до петабайт с высокими нагрузками и чувствительностью к задержкам.
— Глубокий опыт в минимум двух областях данных: стриминг и обработка потоков (Kafka/Confluent, Flink), реляционные операционные базы (PostgreSQL), NoSQL (MongoDB), колоночная аналитика и lakehouse (BigQuery, Snowflake, Iceberg), поиск (Elasticsearch/Solr), оркестрация и обработка пайплайнов (Airflow, Dataflow/Beam).
— Навыки оптимизации производительности и стоимости, диагностики и исправления медленных или дорогих рабочих нагрузок.
— Способность разрабатывать и тестировать прототипы, предпочитая рабочие решения диаграммам.
— Опыт проведения технических оценок технологий и подготовки рекомендаций для руководства и закупок.
Преимущества:
— Опыт поддержки миграции lakehouse или data mesh с инфраструктурной стороны.
— Реализация контроля классификации данных, резидентства и соответствия GDPR/CCPA на уровне инфраструктуры.
— Опыт эксплуатации графовых или распределённых SQL баз данных.
— Знание инфраструктурных требований AI/ML рабочих нагрузок.
— Опыт создания или применения AI-усиленных рабочих процессов для разработчиков или архитекторов.
— Участие в архитектурных советах или аналогичных органах управления.
Образование и опыт:
— Степень бакалавра в области компьютерных наук, технической области или эквивалентный практический опыт.
— 10–15+ лет опыта в облачной инфраструктуре, платформенной или дата-инфраструктурной инженерии, включая несколько лет установления паттернов и стандартов, от которых зависят несколько команд.
Условия:
— Удалённая работа.
— Годовая зарплата от $157,500 до $247,500 USD.
— Дополнительная компенсация, включая бонусы, комиссионные, акции и другие льготы.
Группа компаний «ДОМ.РФ» реализует национальные проекты в области жилищного строительства и ипотеки. Более 25 лет занимается развитием жилищной сферы в России. В компании работает более 9 тысяч человек, из которых более 1,5 тысяч — команда цифровой вертикали, проводящая цифровую трансформацию строительной отрасли и создающая инновационные ИТ-продукты.
Задачи:
— Развивать платформу разработки, проектировать и внедрять новые платформенные интеграции как готовый сервис для команд: от идеи до выката, доступов, мониторинга и документации
— Развивать текущий стек: секреты, управляемые БД, Kafka, registry, GitOps, CI/CD, наблюдаемость
— Сопровождать кластеры Kubernetes и платформенные сервисы, разбирать инциденты, поддерживать мониторинг и логирование
— Участвовать в развитии инфраструктуры: виртуальные машины, автоматизация, связанные платформенные компоненты
— Самостоятельно вести задачу до результата: уточнять требования, пушить смежников, эскалировать блокеры
— Оформлять заявки на сетевые доступы, учётные записи, сертификаты и согласования при необходимости
— Работать с продуктовыми командами как с заказчиками платформы и не оставлять интеграции незавершёнными
— Использовать LLM и ИИ-агентов в повседневной работе и развивать эти практики в команде, в том числе через MCP
Требования:
— 5+ лет в инфраструктуре, platform engineering или SRE
— Опыт с Kubernetes в продакшене: операторы, Helm, сеть, хранилище, RBAC, разбор инцидентов
— GitOps на практике: инфраструктура и сервисы описываются в Git, изменения идут через merge request, а не руками в кластере
— Опыт с Terraform и/или Ansible
— Опыт интеграций под ключ: Vault, операторы PostgreSQL и Kafka, registry, мониторинг
— Понимание корпоративного контура: сети, DNS, учётные записи, сертификаты, согласования со смежными командами и ИБ
— Умение доводить задачу до результата: заявки, переписка, эскалации
— Активная работа с LLM и ИИ-агентами: разбор инцидентов, код и манифесты, документация, исследование незнакомых API
Требования:
– Коммерческий опыт работы в DevOps/SRE от 3 лет.
– Уверенные знания и практический опыт работы с Kubernetes в production.
– Helm, Docker, Nginx, Ingress.
– Уверенное администрирование Linux.
– Опыт построения и поддержки CI/CD, желательно GitLab CI.
– Опыт работы с IaC: Ansible, Terraform.
– Практический опыт с GitOps, желательно ArgoCD.
– Опыт настройки мониторинга: Prometheus, Grafana, VictoriaMetrics.
– Bash и/или Python для автоматизации.
– Понимание принципов работы SQL и NoSQL баз данных: опыт с PostgreSQL, Redis, Qdrant будет плюсом.
– Опыт работы хотя бы с одним из облаков: Yandex Cloud, Azure, AWS.
– Опыт самостоятельного внедрения инфраструктурных решений у заказчиков.
Будет плюсом:
– Опыт работы сразу с несколькими облачными платформами.
– Опыт построения инфраструктуры с нуля.
– Понимание security-практик в DevOps.
– Опыт работы с AI/ML-инфраструктурой и соответствующим стеком.
– Опыт технического взаимодействия непосредственно с заказчиком.
Location: Cyprus; Georgia; Poland; Spain; Serbia
We are looking for a strong Tech Lead with deep software engineering and backend expertise to lead a small engineering team and take ownership of technical decisions, architecture, and engineering quality.
This is a hands-on role — you will drive the technical direction of the team while staying deeply involved in production development, architecture, and solving complex engineering challenges.
You will lead a small cross-functional team consisting of 3 Software Engineers and 2 QA Engineers.
Our core backend stack is Go, so we are looking for someone with strong commercial Golang experience and a solid background in building scalable, distributed systems.
We also expect you to actively leverage AI tools to improve engineering quality, productivity, and development velocity.
Responsibilities
Lead the technical direction of the team and own key architecture decisions.
Design and develop scalable backend services and APIs using Go.
Stay hands-on with production code and solve complex technical challenges.
Design reliable, scalable, and maintainable distributed systems.
Lead code reviews and maintain high engineering standards across the team.
Improve system performance, reliability, observability, and scalability.
Identify technical risks, bottlenecks, and areas for improvement.
Mentor Software Engineers and support their technical growth.
Help increase team productivity and improve engineering efficiency.
Collaborate closely with Product, QA, and other engineering teams.
Continuously improve development processes, engineering practices, and delivery quality.
Actively use AI-powered development tools to accelerate engineering workflows and improve code quality.
Requirements
7+ years of software engineering experience.
Strong commercial experience with Go (Golang).
Strong backend and software engineering background.
Experience designing scalable architectures and distributed systems.
Strong understanding of microservices architecture and asynchronous communication patterns.
Solid experience with PostgreSQL, Redis, and REST APIs.
Experience with message brokers such as RabbitMQ, Kafka, or similar.
Experience with Docker and CI/CD pipelines.
Experience leading engineers and driving technical and architectural decisions.
Strong hands-on approach — you are comfortable staying close to the code and contributing to production development.
Strong understanding of engineering best practices, code quality, testing, and system reliability.
Experience using AI development tools such as Cursor, GitHub Copilot, Claude Code, or similar in daily development.
Nice to Have
Experience with Kubernetes and GitOps.
Experience building high-load or high-availability systems.
Experience with event-driven architectures.
Experience with Web3, blockchain, fintech, or other transaction-heavy products.
Experience integrating LLM APIs or AI capabilities into production products.
Experience with TypeScript / Node.js or other backend technologies.
Benefits
Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
Work-life fit: remote or hybrid format with flexible hours across international teams.
Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
Recognition programs: structured performance reviews and team awards.
Team culture: retreats in international locations (for example, company apartments in Cyprus).
Задачи:
— Написание и оптимизация Dockerfile, сборка собственных Docker-образов (в том числе multi-stage сборки, уменьшение размера и повышение безопасности образов).
— Проектирование, разработка и сопровождение CI/CD-пайплайнов на базе GitLab CI: автоматизация сборки, тестирования и доставки приложений в тестовые и production-окружения.
— Развёртывание, настройка и сопровождение сервисов с использованием Docker и Docker Compose (Redis, RabbitMQ, MinIO, PostgreSQL, Nginx и др.).
— Администрирование Linux-серверов на уровне production: развёртывание и обновление ОС, диагностика (в том числе на уровне процессов, памяти, сети), тюнинг производительности, обеспечение безопасности.
— Настройка и сопровождение Nginx в качестве веб-сервера и reverse-proxy, работа с DNS (настройка записей и зон, диагностика проблем разрешения имён).
— Администрирование PostgreSQL: развёртывание, конфигурирование, резервное копирование и восстановление, контроль производительности и репликации.
— Работа с облачными платформами МТС (MTS Cloud / МТС Web Services) и/или Yandex Cloud: развёртывание и сопровождение облачной инфраструктуры, управление ресурсами, сетями, хранилищами и доступом.
— Участие в регламентных работах, обновлениях и плановых технических окнах.
— Обеспечение бесперебойной работы и отказоустойчивости сервисов: контроль доступности, стабильности и производительности в production-среде.
— Проактивное выявление узких мест (bottlenecks), оптимизация производительности и capacity planning: прогнозирование нагрузки и планирование ресурсов.
— Снижение рутинного труда (toil reduction) и автоматизация операционных задач (bash, Python, IaC).
— Разработка и актуализация runbooks, инструкций и базы знаний для команд поддержки (L1/L2).
— Участие в ревью и поддержании актуальности планов аварийного восстановления (DRP).
— Взаимодействие с командами разработки: помощь в отладке, оптимизации процессов доставки, консультации по Dockerfile, GitLab CI и лучшим практикам надёжности.
— Управление секретами и доступами, поддержка тестовых и production-окружений.
Требования:
— Диплом о высшем образовании.
— Опыт работы на аналогичной позиции от 3-х лет.
— Уверенное владение RedOS (или аналогичные системы): развёртывание, настройка, администрирование, работа с подсистемой аудита и средствами защиты информации (соответствие требованиям ФСТЭК, 4 уровень доверия).
— Продвинутый уровень администрирования Debian/Ubuntu, CentOS/Rocky (и аналогичные RPM-based дистрибутивы) в production-среде.
— Уверенное владение Docker, Docker Compose, создание и оптимизация собственных образов (multi-stage сборки).
— Желательно понимание Kubernetes, Helm: компоненты кластера, деплоймент приложений, диагностика.
— Желательно знание Cilium (CNI/eBPF): настройка сетевых политик, балансировка, наблюдаемость (Hubble).
— Желательно знание Longhorn: распределённое блочное хранилище, управление PV, снапшоты, репликация, бэкапы.
— Уверенное владение GitLab CI: проектирование, разработка и сопровождение пайплайнов.
— Желательно знание ArgoCD и GitOps-подхода.
— Уверенное владение Git: ветвление, merge-request, code review.
— Уверенное владение Nginx: reverse-proxy, балансировка, TLS/SSL, проксирование веб-приложений.
— Хорошее понимание PostgreSQL: развёртывание, конфигурирование, резервное копирование и восстановление, репликация, мониторинг, базовая оптимизация запросов.
— Уверенное владение Redis: развёртывание, конфигурирование, очереди, мониторинг.
— Уверенное владение RabbitMQ: развёртывание, конфигурирование, очереди, мониторинг.
— Уверенное владение ELK (Elasticsearch, Logstash, Kibana): сбор и анализ логов.
— Уверенное владение Bash.
— Опыт написания скриптов автоматизации на Python.
— Желательно опыт работы с Jira, системами класса Service Desk: ведение задач, тикетов, взаимодействие в рамках ITSM-процессов.
— Знание Vault, Consul, Packer.
Условия:
— Формат работы: full-time (пн-пт), гибрид: 3 дня удаленно, 2 дня в офисе (м. Шоссе Энтузиастов).
— Работа в штате надежного работодателя, все соцгарантии.
— Собственные медицинские центры, скидка 50% на услуги для сотрудника и прямых родственников.
— Предоставление оплачиваемых дней по семейным событиям.
— Спортивные тренировки и мероприятия.
Задачи:
— Развивать и сопровождать инфраструктуру AI-платформы.
— Разворачивать и поддерживать сервисы в Kubernetes.
— Контейнеризировать приложения и инфраструктурные компоненты с использованием Docker.
— Разрабатывать и поддерживать CI/CD-пайплайны.
— Автоматизировать рутинные операции с помощью Python и Bash.
— Работать с ArgoCD и IaC-инструментами.
— Настраивать мониторинг, логирование и health-checks.
— Работать с persistent storage и S3/object storage.
— Участвовать в эксплуатации AI/ML-сервисов и LLM inference, администрировать AI системы.
— Постепенно осваивать GPU-инфраструктуру и особенности запуска AI-сервисов на GPU.
— Участвовать в развитии внутренних стандартов deployment и эксплуатации AI-сервисов.
— Разбираться в инцидентах и самостоятельно доводить технические задачи до результата.
— Взаимодействовать с архитекторами, разработчиками, специалистами по кибербезопасности, ML-инженерами и системными администраторами.
Требования:
— Уверенное владение Linux и командной строкой.
— Практический опыт с Docker и Docker Compose.
— Базовый практический опыт работы с Kubernetes.
— Понимание основных Kubernetes-объектов: Pod, Deployment, Service, ConfigMap, Secret, Ingress, PVC.
— Опыт работы с Git.
— Понимание принципов CI/CD и практический опыт работы хотя бы с одним CI/CD-инструментом.
— Bash на уровне написания небольших скриптов автоматизации.
— Python на уровне написания automation scripts и небольших сервисных утилит.
— Базовое понимание сетей: TCP/IP, DNS, HTTP/HTTPS.
— Понимание принципов мониторинга и логирования.
— Понимание разницы между файловым, блочным и объектным хранилищем.
— Понимание базовых принципов работы AI/ML-сервисов: model, training, inference, embeddings, LLM.
— Понимание базовых принципов применения мер защиты от киберугроз.
— Будет плюсом: Helm, Ansible, ArgoCD / GitOps, Prometheus / Grafana / Loki, S3 / MinIO, PostgreSQL / Redis, опыт работы с GPU и NVIDIA, NVIDIA Container Toolkit / CUDA, vLLM, SGLang, Triton или другие inference engines, MLflow, Airflow, Kubeflow или другие MLOps-инструменты, RAG, vector databases, embeddings, непосредственный опыт эксплуатации AI/ML или LLM-сервисов, опыт работы в инфраструктурной или DevOps-команде, опыт эксплуатации production-систем, опыт работы с on-premise инфраструктурой, опыт работы с Linux-серверами и Kubernetes-кластерами, понимание принципов отказоустойчивости и масштабирования.
— Английский язык на уровне чтения технической документации.
— Не требуется глубоких знаний ML и разработки нейронных сетей.
— Не требуется самостоятельно обучать модели или разрабатывать ML-алгоритмы.
— Важнее хорошая инженерная база, способность самостоятельно разбираться в проблемах и готовность постепенно углубляться в AI infrastructure.
Условия:
— Стабильный и прозрачный доход: размер заработной платы обсуждается по итогам собеседования + премия по результатам KPI.
— Сложные и интересные задачи, современный стек технологий.
— Забота о здоровье: программа ДМС с первых дней работы, включая стоматологию и обслуживание в лучших клиниках города.
— Возможность вертикального и горизонтального карьерного роста: регулярные тренинги, вебинары, митапы и демо-дни.
— Корпоративные предложения от партнёров группы АЛЬФА-БАНК.
— Бесплатная мобильная связь Альфа-Мобайл.
Задачи:
— Разрабатывать установщик программного обеспечения на Go, CLI для автоматизации развертывания Reactor в изолированных средах, включая полностью изолированные сети без интернета
— Создавать и поддерживать pipeline доставки данных блокчейна на Java, обеспечивающий упаковку, доставку и распаковку данных для локальной системы
— Расширять и улучшать админ-портал на React с сервером Node.js для управления пользователями, ролями, разрешениями и мониторинга состояния системы
— Разрабатывать инфраструктуру как код с использованием Terraform для управления AWS-средами разработки, тестирования и доставки данных
— Сотрудничать с командами продуктов для интеграции приложений в платформу локального развертывания, решать проблемы окружения и проектировать мультиарендные возможности для безопасной изоляции
— Поддерживать требования FedRAMP, включая аудит логирования, RBAC, подпись пакетов и усиление безопасности, писать качественный код с тестами и CI
Требования:
— Владение Java, JavaScript, Go и Bash для разработки production-софта, включая сервисы, системный код и CLI
— Глубокие знания Kubernetes: деплойменты, сеть, хранилище, Helm, устранение проблем в продакшене
— Умение работать с полным стеком: от backend pipeline до React UI
— Опыт работы с инфраструктурой как кодом, особенно Terraform
— Знания Linux (RHEL или аналог) в сетях, хранилищах, управлении процессами
— Ответственность и эффективное взаимодействие между командами
— Гражданство США (требование для работы с государственными заказчиками)
Будет плюсом:
— Опыт создания кастомных Kubernetes операторов, работы с изолированными развертываниями, OCI-реестрами и зеркалированием образов
— Опыт с системами доставки данных, Kafka или стриминговыми платформами
— Знакомство с требованиями FedRAMP и проектированием мультиарендной архитектуры
— Знание React, PostgreSQL, GitOps инструментов (Flux CD, Kustomize, Helm) и интерес к криптотехнологиям
Условия:
— Удалённая работа из США
— Годовая зарплата от $130K до $180K
Компания Chainalysis — платформа анализа блокчейна, работающая с государственными и высокозащищёнными клиентами, использующая AI и современные технологии для борьбы с незаконной деятельностью в криптоэкономике.
Location: Ireland, Dublin
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Kubernetes Platform Engineer (Controllers)
Sony Interactive Entertainment
At PlayStation, we're leading the revolution in cloud gaming as we push the boundaries of what's possible! Would you like to use your skills, time, and passion for meaningful projects that are building the future? We're looking for a Platform Engineer who enjoys building Kubernetes-native systems and automation that operate reliably at global scale. If you're passionate about software engineering, Kubernetes, and solving challenging distributed systems problems, we'd love to hear from you. Come help us deliver a unique gaming experience to millions of players around the world.
Responsibilities
Design and develop Kubernetes controllers and operators that automate the lifecycle of platform services.
Contribute to the development of our global workload placement system, enabling intelligent scheduling across Kubernetes clusters running in both public cloud and on-premises data centers.
Develop Kubernetes APIs and Custom Resource Definitions (CRDs) that provide clean, maintainable interfaces for platform capabilities.
Build and maintain reconciliation logic that safely manages distributed system state.
Develop controllers and operators that automate provisioning, configuration, upgrades, and lifecycle management of Kubernetes-based platform components deployed across hybrid cloud environments.
Work closely with platform and service teams to build automation that simplifies operating large-scale distributed systems.
Improve the reliability, scalability, observability, and maintainability of the platform through thoughtful engineering and continuous improvement.
Investigate production issues and participate in root cause analysis to improve platform reliability.
Requirements
Solid understanding of Kubernetes architecture, lifecycle and core concepts, including workloads running across cloud and on-premises environments.
Experience developing software in Go or another modern programming language, with an interest in Go development.
Experience building software for Linux-based environments.
Experience with Kubernetes development, including controllers, operators, or Kubernetes APIs.
3+ years of professional software engineering experience.
Strong problem-solving skills and a desire to learn new technologies.
Skills & Knowledge
Understanding of Kubernetes reconciliation patterns and declarative system design; especially understanding the principals of Communicating Sequential Processes (CSP).
Experience using Kubernetes in production environments.
Familiarity with controller-runtime, Kubebuilder, Custom Resource Definitions (CRDs), Common Expression Language (CEL) rules, or Kubernetes API extension mechanisms.
Experience building or operating distributed systems spanning public cloud and on-premises infrastructure.
Familiarity with Infrastructure as Code (IaC) and GitOps workflows.
Experience working with bare metal infrastructure, hybrid cloud environments, or multi-cluster Kubernetes deployments is highly desirable.
Experience with Cluster API (CAPI), SIG Multicluster, Karmada, or other Kubernetes ecosystem projects is a plus.
Additional Attributes
Strong communication and collaboration skills.
Comfortable working as part of a distributed engineering team across multiple time zones.
Takes ownership of assigned work and follows through to completion.
Curious, pragmatic, and eager to learn from teammates while sharing knowledge with others.
Enjoys solving the unique engineering challenges of operating software across globally distributed cloud and on-premises infrastructure.
Passionate about building reliable systems and improving the user experience.
Contributions to open source projects, particularly within the Kubernetes or CNCF ecosystem, are a plus.
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, gender identity, marital status, genetic information or membership in any other legally protected category.
We strive to build an inclusive environment, empower employees and embrace diversity. We encourage everyone to apply.
We sincerely appreciate the time and effort you spent in contacting us, and we thank you for your interest in PlayStation.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Sovereign Infrastructure Operations Engineer
- Location: Espoo
- Department: IT
- Reports to: Head of IT
- Employment type: Permanent
- Workplace model: Onsite
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As a Sovereign Infrastructure Operations Engineer, you'll take operational ownership of ICEYE's secure bare-metal infrastructure, virtualization platforms, and production Kubernetes environments, keeping the dedicated air gaped collaboration platform reliable, secure, and audit-ready under some of the strictest information security frameworks in Europe.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Manage configuration state across physical and virtual assets using GitOps with Infrastructure as Code tools (Git/Gitlab, Ansible, Terraform, or Puppet), removing manual configuration drift in secure environments in alignment with the strict change policies of the given security controls
- Maintain and support production Kubernetes clusters in restricted environments, covering upgrades, storage integration, and registry management
- Administer secure platform core services (Mattermost, Nextcloud, Keycloak, OpenBao), including deployment, upgrades, and integration with local IAM and storage
- Run weekly meetings (change management, vulnerability management) with stakeholders on the infrastructure side
- Maintain technical security controls to satisfy Finnish Katakri, German VS-NfD, and related European frameworks (e.g. NIS2, ISO 27001), including patch management, hardening, and access control
- Maintain secure infrastructure networking (VLAN isolation, mTLS, PKI) and identity integrations, in coordination with network and security teams
- Execute backup and disaster recovery procedures and routine hardware maintenance across air-gapped or high-security sites
WHAT WE’RE LOOKING FOR
Must haves:
- 5+ years hands-on experience in Systems Administration, IT Systems Engineering, or Infrastructure Operations, with a focus on Linux environments
- Practical experience running and maintaining production Kubernetes clusters
- Expert-level Linux administration (Debian/Ubuntu or RHEL/Rocky), including system hardening and vulnerability patching
- Practical knowledge of Katakri, VS-NfD, or equivalent European security/compliance frameworks (ISO 27001, NIS2)
- Solid understanding of enterprise networking fundamentals (VLAN segmentation, firewalls, DNS/DHCP, VPN protocols, PKI)
- Eligibility to obtain and maintain a high-level national security clearance in Finland
Nice to haves:
- Experience with Ceph or ZFS storage systems
- Experience with at least one Infrastructure as Code tool (Ansible, Terraform, or Puppet), with the ability to manage configurations
- Experience with Keycloak, Vault, or internal PKI management
- Familiarity with Kubernetes operations specifically in secure or air-gapped environments
APPLICATION PROCESS
- TA Screen (30 mins)
- Interview with Hiring Manager (30 mins)
- Technical Deep-Dive Interview with Team (60 mins)
- Stakeholder & Security Alignment Interview (30 mins)
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Задачи:
— развёртывать, настраивать и сопровождать Langfuse в защищённых контурах Банка, включая настройку зависимых компонентов: PostgreSQL, ClickHouse, Redis и объектного хранилища;
— организовывать интеграцию с Apache Kafka: создавать и сопровождать топики, настраивать ACL, consumer groups, retention, репликацию, DLQ/retry-механизмы, мониторить Kafka lag;
— поддерживать потоки телеметрии моделей: результаты работы классических ML-моделей, LLM traces, события RAG-пайплайнов, метрики качества, технические логи и алерты;
— развёртывать и эксплуатировать сервисы в Kubernetes/OpenShift: namespaces, RBAC, Secrets, ConfigMaps, Ingress, resource limits/requests, autoscaling и сетевые политики;
— разрабатывать и сопровождать Helm-чарты, Kubernetes-манифесты и шаблоны конфигурации для dev/test/preprod/prod-контуров;
— строить и поддерживать CI/CD- и GitOps-конвейеры: сборка, тестирование, сканирование, публикация артефактов, деплой и rollback;
— автоматизировать инфраструктуру и конфигурации с использованием Ansible, Terraform или аналогичных средств;
— настраивать мониторинг, централизованное логирование и алертинг: Prometheus, Grafana, Alertmanager, ELK/Opensearch или аналоги;
— сопровождать и проводить первичную оптимизацию PostgreSQL, ClickHouse, Redis, Kafka, Nginx/Ingress и смежных инфраструктурных компонентов;
— обеспечивать отказоустойчивость, резервное копирование, восстановление и планирование ресурсов платформы;
— участвовать в разборе инцидентов, готовить RCA, runbook’и и мероприятия по предотвращению повторных сбоев;
— обеспечивать требования ИБ: управление доступами, секретами, сертификатами, сетевой сегментацией, аудитом и устранением уязвимостей;
— вести эксплуатационную и техническую документацию по сервисам, интеграциям и процедурам сопровождения.
Требования:
— опыт работы DevOps/SRE-инженером от 5-ти лет;
— практический опыт эксплуатации Kubernetes или OpenShift в production-среде: Helm, RBAC, networking, autoscaling, диагностика и настройка ресурсов;
— уверенное знание Linux, Docker, Git, Bash и основ сетевого взаимодействия: TCP/IP, DNS, HTTP(S), TLS, reverse proxy;
— практический опыт работы с Apache Kafka: топики, партиции, репликация, consumer groups, ACL, retention, мониторинг и устранение инцидентов;
— опыт построения и сопровождения CI/CD-пайплайнов на Jenkins, GitLab CI, TeamCity, Argo CD или аналогичных инструментах;
— знание и практическое применение Ansible, Terraform либо других IaC-инструментов;
— опыт настройки мониторинга и observability: Prometheus, Grafana, Alertmanager, централизованное логирование, трассировка;
— опыт эксплуатации PostgreSQL; понимание принципов работы ClickHouse и Redis;
— умение автоматизировать рутинные операции с помощью Python и Bash;
— понимание принципов высоконагруженных и распределенных систем;
— знание подходов к безопасной эксплуатации: управление секретами, сертификатами, доступами, уязвимостями и журналированием действий;
— навыки технической коммуникации: взаимодействие с командами разработки, архитекторами, ИБ, администраторами платформы и владельцами интеграций.
Будет плюсом:
— опыт работы в крупных FinTech-компаниях;
— знание Groovy.
Условия:
— уровень зарплаты обсуждается индивидуально, есть доплаты за менторство и профактивности;
— долгосрочные проекты от российских заказчиков, возможность менять направления, прозрачная система Performance Review;
— релокейт между офисами, выбор формата работы (удалённо, офис, гибрид), адаптация для новых сотрудников;
— доступ к корпоративному порталу, митапам, конференциям (и как гость, и как спикер);
— ДМС со стоматологией, частичная компенсация спорта, бесплатный английский, оплачиваемый отпуск и больничные;
— тимбилдинги, детские праздники, внутренние мероприятия;
— офисы в Москве, Санкт-Петербурге, Казани, Нижнем Новгороде, Самаре.
Location: Remote - US
About the Job:
We’re looking for an Engineering Manager to lead LaunchDarkly’s Cloud Engineering team, the team responsible for the foundational infrastructure our products and engineering teams depend on.
Cloud Engineering owns LaunchDarkly’s AWS accounts and networking, multi-region Kubernetes infrastructure, Terraform and GitOps workflows, CockroachDB operations, disaster-recovery capabilities, and FedRAMP infrastructure posture. The team is small, senior, and recently rebuilt. This is a frontline leadership role for a manager who treats operational health as a top priority, leads calmly through incidents, and creates leverage through software, automation, and reliable paved paths.
In your first year, you’ll lead a marquee infrastructure insourcing program from planning through completion. The program’s cost savings will help fund additional team growth, giving you the opportunity to deliver meaningful business impact while strengthening the infrastructure behind LaunchDarkly’s next stage of scale.
This role combines people leadership, operational ownership, and technical judgment. You do not need to be the most senior individual contributor in the room, but you should be comfortable partnering with experienced engineers, guiding tradeoffs, and creating an environment where the team can do its best work.
Responsibilities:
Lead and develop a senior Cloud Engineering team, providing clear expectations, coaching, feedback, performance management, and career-development support.
Own the operational health of LaunchDarkly’s cloud infrastructure, including incident response, on-call health, service-level objectives, resilience, and disaster recovery.
Launch and deliver a multi-quarter infrastructure insourcing program, including sequencing work, managing dependencies, communicating milestones, and ensuring a successful transition.
Guide technical priorities and tradeoffs across AWS infrastructure, networking, multi-region Kubernetes, infrastructure as code, GitOps, datastore operations, and compliance-related infrastructure.
Build leverage through software, automation, and paved paths that help product engineering teams use infrastructure safely and independently.
Support migrations by providing guidance, patterns, and enablement while maintaining clear ownership boundaries with partner teams.
Establish team norms for effective AI-assisted engineering and identify opportunities to reduce operational toil through AI and automation.
Maintain team health and continuity through change, fostering an inclusive, collaborative, and accountable environment.
Partner with Service Frameworks, Core Platform, Revenue Platform, Data Platform, and product engineering teams on shared infrastructure priorities and cross-team dependencies.
Communicate roadmaps, operational risks, investment needs, and progress clearly to engineering leadership and cross-functional stakeholders.
Participate in hiring and team planning as the organization grows.
Qualifications:
2+ years of experience managing an infrastructure, platform engineering, or site reliability engineering team at a product company, including people management of an on-call team.
Demonstrated ownership of incident response, on-call health, and service-level objective frameworks for critical production systems.
Experience leading at least one multi-quarter infrastructure migration or insourcing program from planning through completion.
Technical fluency with AWS, Kubernetes, and infrastructure-as-code practices, with the judgment to guide discussions and tradeoffs with senior engineers.
Experience taking over an established team and maintaining engagement, performance, and retention through a leadership transition.
A clear point of view on team norms and practices for AI-assisted engineering.
Strong written and verbal communication skills, with the ability to explain technical and operational priorities to a range of audiences.
A thoughtful, calm, and accountable leadership approach, particularly during incidents and periods of change.
Nice to Haves
Experience with vendor negotiations or cloud cost management.
Experience supporting FedRAMP or other compliance-related infrastructure and operations.
Experience operating large-scale datastores or OLAP systems.
Experience growing a team through funded expansion.
Pay:
Target pay ranges based on Geographic Zones* for Level M2:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $191,800 - $263,670**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$172,600 - $237,270**
Zone 3:
All other US locations -
$163,000 - $224,070**
All Zones Inclusive of a 10% Bonus Target
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Задачи:
— Разработка и поддержка текущей инфраструктуры и CI/CD пайплайнов с использованием GitLab CI и ArgoCD
— Поддержка развертывания приложений в тестовых и производственных средах
— Настройка мониторинга и логирования, помощь в расследовании инцидентов
Требования:
— 7+ лет опыта в DevOps
— Глубокий практический опыт работы с AWS SDK, Kubernetes, Docker и Terraform
— Опыт работы с Helm, GitOps и инструментами мониторинга
— Практические знания Linux, сетевых технологий и скриптов на Shell или Python
— Английский C1
— Опыт работы с DevSecOps, Ansible или Go будет плюсом
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv.
Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models.
Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it.
This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production.
WHAT YOU'LL DO
- Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run
- Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass
- Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation
- Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them
- Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on
- Build guardrails for AI agents and developer tooling operating inside our infrastructure
- Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change
- Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off
WHAT YOU'LL NEED
- Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised
- Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work
- Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else
- Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts
- An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement
- Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job
- Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company
EVEN BETTER IF YOU HAVE
- Experience securing GPU or HPC-style compute, training pipelines or research environments
- Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar)
- Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries
- Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments
- Open source contributions or published work in cloud or Kubernetes security
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Задачи:
– Заниматься обеспечением бесперебойной работы DEV/STAGE/PROD стендов;
– Заниматься построением и поддержкой процессов CI/CD;
– Использование подходов gitOps и IaC.
Требования:
– Опыт работы с контейнерными приложениями; опыт работы с ОС Linux (OEL, redhat, ubuntu); знание Kubernetes;
– Опыт работы с высоконагруженными системами;
– Знание bash, python;
– Знание инструментов CI/CD (gitlab-ci);
– Опыт работы с системами мониторинга и сбора логов(Prometheus/VictoriaMetrics/Vlogs/OpenSearch/Loki/Grafana;
– Опыт работы с Ansible/Terraform;
– Опыт работы с Postgres, Clickhouse, kafka.
Вакансия в компании МТС, работа удалённая, полная занятость, зарплата обсуждается на собеседовании.
Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico
About Backblaze
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we're helping customers break free from the restrictive, overpriced legacy solutions that hold them back and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $125M in revenue and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
Role Overview
Backblaze is seeking a Director, Enterprise Systems & Architecture to own the technical vision, architecture, and operations of the company’s enterprise systems and emerging AI use cases. This is a senior leadership role with organization-wide scope — spanning commercial and financial systems, GTM technology, data architecture, and the deployment and governance of AI agents across the business.
This leader will serve as the company’s architectural authority for enterprise platforms including Salesforce, NetSuite, Zendesk, Snowflake, and their surrounding integration ecosystem. Equally important, they will support the governed infrastructure layer that enables AI agents, automated workflows, and headless capabilities to operate safely at a public company. They will partner closely with the CRO, CISO, and CFO organizations to enable velocity while ensuring systems are compliant, auditable, and built to scale.
The ideal candidate combines deep enterprise architecture expertise with hands-on platform engineering instincts and practical experience deploying AI agents in production environments. This is a build-and-operate role, not a purely advisory one. The Director will directly manage the Salesforce administration team and the NetSuite techno-functional team, and will grow a broader platform capability over time.
Key Responsibilities
Enterprise Architecture Strategy
Define and maintain the enterprise systems architecture roadmap across the commercial, financial, and GTM technology stack, including Salesforce, NetSuite, Zendesk, Snowflake, and related platforms.
Own and maintain formal architecture documentation including system topology maps, data flow diagrams, integration inventories, and architecture decision records (ADRs).
Establish and enforce architectural governance standards and review processes for all material system changes across the enterprise.
Define reference architectures and design patterns for integrations, data exchange, platform extensibility, and AI agent workloads.
Lead build vs. buy evaluations and establish platform selection criteria — including for AI tooling, agent orchestration frameworks, and LLMOps infrastructure — aligned with long-term architectural goals.
Ensure systems architecture supports scalability, data integrity, security, and operational efficiency in a public-company environment.
Systems Architecture & Integration Design
Serve as the lead architect for the design and implementation of integrations across Salesforce, NetSuite, Zendesk, Snowflake, Orb, and other enterprise platforms.
Establish and enforce design standards, data contracts, and integration governance across all enterprise systems.
Own the enterprise architecture review board, evaluating proposed system changes for scalability, compliance, security, and alignment with long-term design goals.
Define integration patterns (event-driven, API-first, middleware) and ensure consistent application across the technology ecosystem.
Partner with the Data Engineering team to ensure data pipelines, data models, and platform integrations reflect sound architectural principles and support reliable analytical and operational outcomes.
Lead evaluation and selection of new technologies, including iPaaS and middleware platforms, ensuring alignment with the broader architecture.
Architecture Governance & Advisory
Serve as the company's technical authority on enterprise systems design questions, providing architectural guidance to Revenue Operations, Finance, and Data Engineering leadership.
Lead architecture review sessions and provide formal design approval for major system initiatives and platform changes.
Produce and maintain architectural roadmaps, standards documentation, and technical decision frameworks that guide delivery teams and stakeholders.
Translate complex business requirements into scalable, future-proof architectural solutions, ensuring alignment between business priorities and technical design decisions.
Establish strong feedback loops with business teams to ensure the architecture evolves alongside organizational needs.
Mature the infrastructure that governs AI agent workflows — ensuring all agents and automated systems operate through governed identity, API gateway, secrets management, logging, and reconciliation layers.
Maintain and enforce change management standards for workflow deployments, prompt changes, and policy updates — including GitHub-backed version control and CI/CD deployment gates.
Ensure AI agent operations comply with SOX IT General Controls, data privacy requirements (GDPR/CCPA), and internal data governance standards.
Build and maintain observability infrastructure in partnership with the security team for agent operations, including real-time dashboards, alerting on anomalous behavior, and audit trail evidence for SOX and compliance purposes.
Team Leadership & Vendor Governance
Lead and develop a team of Business Systems administrators, contractors, providing mentorship and clear career development direction.
Establish best practices for systems lifecycle management, change management, and project delivery.
Manage vendor and contractor relationships, ensuring external resources operate within defined architectural standards and governance frameworks.
Champion a culture of technical rigor, documentation discipline, and continuous improvement across the team.
Qualifications
Required
10+ years of experience in Enterprise Architecture, Business Systems, or Platform Engineering roles, with demonstrated ownership of multi-system environments at a public or compliance-regulated company.
Proven experience deploying, monitoring, and governing AI agents or LLM-powered workflows in production, including prompt versioning, agent identity management, and audit logging.
Deep experience architecting and governing Salesforce CRM environments at scale, including data model design, integration patterns, and access controls.
Strong working knowledge of NetSuite and Snowflake from both an architectural and operational perspective.
Experience building and operating API gateway, secrets management, and identity-based access control infrastructure in support of automated workflows or agent systems.
Solid understanding of SOX IT General Controls and application controls, with experience producing control evidence in a public company environment within the last 3 years.
Proven track record managing multi-functional business systems or platform teams, including direct management of admins and techno-functional resources.
Experience designing integration architectures using event-driven, API-first, or middleware patterns.
Strong communication and stakeholder management skills with the ability to engage credibly across technical teams, senior business leaders, and external auditors.
Experience with workflow versioning, GitOps patterns, and CI/CD pipelines for business systems deployments.
Preferred
Proficiency with architecture and security frameworks to enable the responsible usage of AI
Hands-on experience with iPaaS or middleware platforms (e.g., Fivetran, Polytomic, MuleSoft, Boomi, Celigo) at a design and governance level.
Experience developing master data management (MDM) strategy and data governance frameworks.
Experience managing analytics architecture and BI platforms such as Tableau.
Salesforce and NetSuite certifications.
Experience working in public or large enterprise technology environments with compliance and audit requirements.
At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer.
Location: Remote (US)
Infrastructure Engineer (DevOps)
About the company
Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and have since expanded into several other assets. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto.
Founded by folks from Goldman Sachs Digital Assets Team, we're backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across many countries.
About the role
As an Infrastructure Engineer at Ondo, you'll help build and run the platform our financial products run on. Our team owns the cloud infrastructure, Kubernetes clusters, delivery pipelines, monitoring, and tooling that every engineering team at Ondo depends on, so you'll see a wide range of systems rather than one.
You won't do this alone. You'll work closely with a diverse team of infrastructure engineers and developers. Expect to debug real production problems, write code and configuration for user-facing applications, and see your changes running in production early. You'll start with well-scoped work and take on more ownership as you learn our systems.
Responsibilities
* Collaborate with development teams to build reliable financial services for our customers.
* Help the team build and improve release processes, continuous integration, and deployment automation.
* Extend application monitoring and alerting.
* Participate in an on-call rotation together with infrastructure engineers and developers.
* Troubleshoot issues with user-facing and internal services, and debug production incidents.
Requirements
* Genuine curiosity and desire to learn new technologies and break things.
* Hands-on Kubernetes experience: you can deploy, inspect, and debug workloads, even if you've never run a cluster yourself.
* Understanding of operating systems, especially Linux internals.
* Experience with "infrastructure-as-code" or "infrastructure-as-data" approaches to infrastructure management.
* Understanding of the GitOps approach to application management.
* Experience with the Prometheus stack or another monitoring solution.
Nice to haves
* Experience building infrastructure in a major cloud provider (AWS, Google Cloud, or Azure).
* Programming ability in Go, Python, or another modern, widely adopted language.
* Experience running stateful workloads in production, not only stateless services.
Our tech stack
AWS, GCP, Azure | Terraform | Kubernetes, Flux | Prometheus, Grafana, Datadog
What we offer
* Competitive compensation including salary, future token rights, and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation
* Full benefits (medical, vision, and dental) and flexible vacation policy (PTO)
* Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices
* A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, Pinterest, McKinsey, Circle, Uniswap, Phantom
* Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures
УдалённоГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
